bayesnec: A Bayesian No-Effect- Concentration (NEC) Algorithm

Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>), 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see Fisher et al. 2023<doi:10.1002/ieam.4809>). A full description of this package can be found in Fisher 'et al.' (2024)<doi:10.18637/jss.v110.i05>. This package expands and supersedes an original version implemented in 'R2jags' (see Su and Yajima (2020)<https://CRAN.R-project.org/package=R2jags>; Fisher et al. (2020)<doi:10.5281/ZENODO.3966864>).

Package details

AuthorRebecca Fisher [aut, cre] (<https://orcid.org/0000-0001-5148-6731>), Diego R. Barneche [aut] (<https://orcid.org/0000-0002-4568-2362>), Gerard F. Ricardo [aut] (<https://orcid.org/0000-0002-2220-3971>), David R. Fox [aut] (<https://orcid.org/0000-0002-3178-7243>)
MaintainerRebecca Fisher <r.fisher@aims.gov.au>
LicenseGPL-2
Version2.1.3.0
URL https://open-aims.github.io/bayesnec/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bayesnec")

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bayesnec documentation built on Sept. 11, 2024, 6:15 p.m.